 The Benefits of Label-Description Training for Zero-Shot Text
ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
Learners by Clustering RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Zero and Few-shot Learning for Author ProfilingInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2022 |
 Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot
ClassifiersInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2022 |
 Few-Shot Learning with Siamese Networks and Label TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 True Few-Shot Learning with Prompts -- A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL), 2021 |
 DocSCAN: Unsupervised Text Classification via Learning from NeighborsConference on Natural Language Processing (NLP), 2021 |
